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Clinical Article
A Meta analysis on apparent diffusion coefficient used to differentiate benign from malignant soft tissue tumors
LI Shu-jin  WU Xiao-bing  ZHANG Shao-wei  LIU Qi-wang  DAI Li-ping 

DOI:10.3969/j.issn.1674-8034.2012.04.004.


[Abstract] Objective: To evaluate diagnostic value of mean apparent diffusion coefficient (ADC)values depending on b value ranges on differentiating benign from malignant soft tissue tumors in diffusion-weighted imaging.Methods: A comprehensive search was conducted to screen out mean ADC values and SD values from included studies. Meta-analysis was applied with Medcalc software for calculation of standardized mean differences (SMD) of mean ADC values and 95% confidence intervals (CI) for SMD.Results: Ten studies were included in this Meta-analysis. B value ranged from 0 to 400 s/mm2 with a SMD (95% CI) of 0.86 (-0.46—2.19), 500 to 700 s/mm2 with that of 1.50 (0.79—2.21), and 800 to 1000 s/mm2 with that of 0.93 (0.40—1.46). There was no statistically significant difference in mean ADC values between benign and malignant soft tissue tumors when b value ranged from 0 to 400 s/mm2, and there were statistically significant differences when b value ranged from 500 to 700 s/mm2 and 800 to 1000 s/mm2, but SMD of the former exceeded that of the latter.Conclusions: ADC values in diffusion-weighted MRI maybe have more potential value in differentiating benign soft-tissue tumors from malignant ones when b value ranged from 500 to 700 s/mm2.
[Keywords] Magnetic resonance imaging;Diffusion weighted imaging;Soft tissue tumor;Meta analysis

LI Shu-jin * Changan Hospital of Dongguan City, Dongguan 523843, China

WU Xiao-bing Changan Hospital of Dongguan City, Dongguan 523843, China

ZHANG Shao-wei Changan Hospital of Dongguan City, Dongguan 523843, China

LIU Qi-wang Radiology Department of The First Hospital of Shanxi Medical University, Taiyuan 030000, China

DAI Li-ping Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China

*Correspondence to: Li SJ, E-mail: 13609670315@139.com

Conflicts of interest   None.

Received  2012-01-16
Accepted  2012-03-25
DOI: 10.3969/j.issn.1674-8034.2012.04.004
DOI:10.3969/j.issn.1674-8034.2012.04.004.

[1]
Michael K, James SB, Mark ES. Can diffusion-weighted imaging be used to differentiate benign from pathologic fractures? A meta-analysis. Skeletal Radiol, 2008(37): 791-795.
[2]
王绍武,张丽娜,孙美玉, 等. 软组织肿瘤MR扩散成像与灌注成像的比较研究. 中华放射学杂志, 2009, 43(2): 136-140.
[3]
李勇刚. 软组织肿瘤的功能磁共振成像研究. 华中科技大学同济医院博士学位论文, 2006.
[4]
齐滋华. 3 T磁共振功能成像对肌骨肿瘤的应用研究. 山东大学博士学位论文, 2006.
[5]
王琦,鲍润贤,叶兆祥. 磁共振扩散加权成像鉴别良恶性软组织肿瘤的价值. 中国肿瘤临床, 2008, 35(23): 1331-1334.
[6]
林蒙,罗德红,欧阳汉, 等. 3.0T磁共振弥散加权成像周围神经源性肿瘤的诊断价值. 中国肿瘤影像学, 2009, 2(4): 138-142.
[7]
Shuji N, Hiroshi N, Masafumi U, et al. Diffusion-weighted imaging of soft tissue tumors: usefulness of the apparent diffusion coefficient for differential diagnosis. Radiat Med, 2008, 26(5): 287-295.
[8]
Maeda M, Matsumine A, Kato H, et al. Soft-tissue tumors evaluated by line-scan diffusion-weighted imaging: influence of myxoid matrix on the apparent diffusion coefficient. J Magn Reson Imaging, 2007, 25(6): 1199-1204.
[9]
Van RC, Kunz P, Hogendoorn PC, et al. Diffusion-weighted MRI in the characterization of soft-tissue tumors. J Magn Reson Imaging. 2002, 15(3): 302-307.
[10]
Kiyoshi O, Toshitake Y, Hiro S, et al. Usefulness of diffusion-weighted imaging for differentiating between desmoid tumors and malignant soft tissue tumors, J Magn Reson Imaging, 2011, 33(1): 189-193.
[11]
Razek A, Nada N, Ghaniem M, et al. Assessment of soft tissue tumours of the extremities with diffusion echoplanar MR imaging. Radiol med, 2012, 117(1): 96-101.
[12]
余小多,林蒙,胡满仓, 等. 3.0 T磁共振扩散加权成像对肾上腺原发肿瘤的诊断价值. 磁共振成像, 2010, 1(5): 366-370.
[13]
李琢,薛华丹,何泳蓝, 等. 基于磁共振表观弥散系数分布的淋巴结良恶性鉴别方法研究. 磁共振成像, 2011, 2(5): 349-352.
[14]
张妍,王晞星,黄永波, 等. 磁共振全身弥散加权成像在恶性肿瘤筛查中的应用价值初探. 磁共振成像, 2011, 2(3): 205-209.
[15]
Le Bihan D. Molecular diffusion nuclear magnetic resonance imaging. J Magn Reson Imaging, 1991, 7(1): 1-30.
[16]
Jain RK. Barriers to drug delivery in solid tumors. Sci Am, 1994, 271(1): 42-49.
[17]
Jain RK. Transport of molecules in the tumour interstitium: a review. Cancer Research, 1987, 47(12): 3039-3051.
[18]
Jain RK. Determinants of tumour blood flow: a review. Cancer Research, 1988, 48(10): 2641-2658.
[19]
贾飞鸽,张丽娜,王绍武. 软组织肿瘤MR弥散加权成像量化研究初探(前瞻性). 中国临床医学影像杂, 2006, 17(5): 272-274.
[20]
Chne S, kIawa F, Kurisu K, et al. Quantitative MR evaluation of intracranial epidermoid tumors by fast fluid-attenuated inversion recovery imaging and eho-Planar diffusion-weighted imaging. AJNR Am J Neuroradiol, 2001, 22(6): 1089-1096.
[21]
Baur A, Dietrich O, Reiser M, et al. Diffusion-weighted imaging of bone marrow: current status. Eur Radiol, 2003, 13(7): 1699-1708.

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